Frameworks for mitigating identity theft and spamming through bulk messaging

The introduction of mobile technology has brought dramatic, albeit positive, change to the communication landscape all over the world. Over the years, the effects of its growth have permeated virtually every space and sector; its pervasiveness, offering voice, data, SMS capabilities, as essential driver of effective communication, corporate goals, and economic growth, cannot be overemphasized. Unfortunately, attackers have been leveraging on this technology to perpetrate different infringements, and even crimes, including identity theft and spamming. While several techniques for mitigating spamming have been proposed, much research has not been focused on preventing identity theft through bulk messaging. In this paper we propose an integrated system that filters message destinations based on message header and sender's registered platform mapping, and customer preference and message type/header mapping to mitigate identity theft and spamming through bulk messaging respectively.